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cs.AI2026
NormCode: A Semi-Formal Language for Auditable AI Planning
Xin Guan, Yunshan Li, Zekun Wu +1
As AI systems move into high stakes domains such as legal reasoning, medical diagnosis, and financial decision making, regulators and practitioners increasingly demand auditability…
cs.AI2025
Bias Amplification: Large Language Models as Increasingly Biased Media
Ze Wang, Zekun Wu, Jeremy Zhang +5
Model collapse, a phenomenon characterized by performance degradation due to iterative training on synthetic data, has been widely studied. However, its implications for bias ampli…
cs.AI2025
Web-Bench: A LLM Code Benchmark Based on Web Standards and Frameworks
Kai Xu, YiWei Mao, XinYi Guan +1
The application of large language models (LLMs) in the field of coding is evolving rapidly: from code assistants, to autonomous coding agents, and then to generating complete proje…